diff --git a/benchmarks/python/sdpa_vector_bench.py b/benchmarks/python/sdpa_vector_bench.py
index 9fb6f36d2..5ce1c50a1 100644
--- a/benchmarks/python/sdpa_vector_bench.py
+++ b/benchmarks/python/sdpa_vector_bench.py
@@ -25,13 +25,13 @@ def sdpa(q, k, v):
     return mx.fast.scaled_dot_product_attention(q, k, v, scale=1.0, mask=None)
 
 
-def quant_sdpa(q, k, v):
+def quant_sdpa(q, k, v, bits=4):
     return mx.fast.quantized_scaled_dot_product_attention(
-        q, *k, *v, scale=1.0, mask=None, bits=8
+        q, *k, *v, scale=1.0, mask=None, bits=bits
     )
 
 
-def quant_attention(q, k, v):
+def quant_attention(q, k, v, bits=4):
     B, Hq, L, D = q.shape
     Hk = k[0].shape[1]
 
@@ -39,10 +39,10 @@ def quant_attention(q, k, v):
     k = tree_map(lambda x: mx.expand_dims(x, axis=2), k)
     v = tree_map(lambda x: mx.expand_dims(x, axis=2), v)
 
-    scores = mx.quantized_matmul(q, *k, transpose=True)
+    scores = mx.quantized_matmul(q, *k, transpose=True, bits=bits)
     scores = mx.softmax(scores, axis=-1)
 
-    out = mx.quantized_matmul(scores, *v, transpose=False)
+    out = mx.quantized_matmul(scores, *v, transpose=False, bits=bits)
     out = out.reshape((B, Hq, L, D))
     return out
 
@@ -55,11 +55,11 @@ def time_self_attention_sdpa(q, k, v):
     time_fn(sdpa, q, k, v)
 
 
-def time_self_attention_quant_sdpa(q, k, v):
-    time_fn(quant_sdpa, q, k, v)
+def time_self_attention_quant_sdpa(q, k, v, bits=4):
+    time_fn(quant_sdpa, q, k, v, bits)
 
 
-def time_self_attention_quant_primitives(q, k, v):
+def time_self_attention_quant_primitives(q, k, v, bits=4):
     time_fn(quant_attention, q, k, v)
 
 
@@ -70,11 +70,12 @@ if __name__ == "__main__":
     v = mx.random.uniform(shape=(1, H_k, L, D))
     mx.eval(q, k, v)
 
-    k_quant = mx.quantize(k)
-    v_quant = mx.quantize(v)
+    bits = 4
+    k_quant = mx.quantize(k, bits=bits)
+    v_quant = mx.quantize(v, bits=bits)
     mx.eval(k_quant, v_quant)
 
     time_self_attention_sdpa(q, k, v)
-    time_self_attention_quant_sdpa(q, k_quant, v_quant)
+    time_self_attention_quant_sdpa(q, k_quant, v_quant, bits)
     time_self_attention_primitives(q, k, v)
-    time_self_attention_quant_primitives(q, k_quant, v_quant)
+    time_self_attention_quant_primitives(q, k_quant, v_quant, bits)